Package: GenAlgo 2.2.0

Kevin R. Coombes

GenAlgo: Classes and Methods to Use Genetic Algorithms for Feature Selection

Defines classes and methods that can be used to implement genetic algorithms for feature selection. The idea is that we want to select a fixed number of features to combine into a linear classifier that can predict a binary outcome, and can use a genetic algorithm heuristically to select an optimal set of features.

Authors:Kevin R. Coombes

GenAlgo.pdf |GenAlgo.html
GenAlgo/json (API)

# Install GenAlgo in R:
install.packages('GenAlgo', repos = c('', ''))

Peer review:

Bug tracker:


13 exports 0.00 score 8 dependencies

Last updated 4 years agofrom:7476f7f38f6427cdb2ebc6307fe4ef95eb338de9



Rendered fromgenalg.Rnwusingutils::Sweaveon May 27 2024.

Last update: 2018-10-17
Started: 2017-07-13

Readme and manuals

Help Manual

Help pageTopics
Results of a Genetic Algorithmdiversity fitter gaTourResults meanfit recurse
A generic Genetic Algorithm for feature selectionGenAlg newGeneration popDiversity
Class "GenAlg",GenAlg-method as.matrix,GenAlg-method GenAlg-class summary,GenAlg-method
Utility functions for selection and mutation in genetic algorithmsGenAlg-tools selectionFitness selectionMutate simpleMutate
Compute the (squared) Mahalanobis distance between two groups of vectorsmaha
Tour de France 2009tourData09